Throughout the paper we consider the following assumptions. The random variables are continuous with the following
definition. Random variable \(X\)  with cumulative distribution function \(F\left( x \right) = \Pr \left( {X \le x} \right)\)  is said to be continuous if \(F\left( x \right)\)  is
continuous [1]}. As [2]}, we assume that the score functions are bounded in the sense that,
\(\left\Vert  {{\phi }_{\textbf {q}} \left( {\textit {\textbf {q}}} \right)} \right\Vert  \le C\left( {1 + \left\Vert  {\textit {\textbf {q}}} \right\Vert ^{\alpha - 1} } \right),\,\,\,\ {\rm {for\, all}}\, \textit {\textbf {q}}\) 
